Dive into a practical, expert-led masterclass designed to build your analytics and data science expertise.
AI Agents masterclass Cohort 3 - 2026
Objective: Empower participants to visually architect, debug, and deploy autonomous AI workforces using n8n’s no-code canvas, Reasoning Models, and Adaptive RAG. You will learn to transform business logic into self-correcting agents that act across apps, data lakes, and secure channels—without writing a single line of code.
Objective: Empower participants to visually architect, debug, and deploy autonomous AI workforces using n8n’s no-code canvas, Reasoning Models, and Adaptive RAG. You will learn to transform business logic into self-correcting agents that act across apps, data lakes, and secure channels—without writing a single line of code.
Why it matters
The Agentic Shift: Business operations are moving beyond simple automation to "Agentic Teams"; digital workers that autonomously plan, execute, and verify complex multi-step tasks.
Context is Currency: Next-gen RAG (Retrieval-Augmented Generation) allows no-code agents to "learn" your business instantly, accessing live data to make high-fidelity, hallucination-free decisions.
Visual Orchestration: n8n has democratized AI development, turning complex backend coding into an intuitive visual experience. If you can sketch a flowchart, you can build an enterprise-grade agent.
Ubiquitous Action: Modern agents don't just chat; they act. You will build systems that invisibly integrate into Slack, CRMs, and email to perform work where your team already lives.
Logic Over Syntax: The definitive skill of 2026 is "Flow Engineering." Success no longer depends on Python scripting, but on your ability to structure logic, guardrails, and loops using visual nodes.
Prerequisites
Conceptual Foundation: Understanding of GenAI capabilities (Reasoning vs. Chat).
Platform Access: An n8n Cloud account or Desktop version (no command-line installation required).
Model Credits: API Keys (e.g., OpenAI, Anthropic) to power the "brain" of your visual agents.
AI agents Course Outline
Meet Our Trainer
Ezra Muinde
Ezra Muinde is a passionate data scientist with extensive experience in data analysis, business analytics, and decision science. With over seven years of professional experience — including four years as a data professional — Ezra combines technical expertise with a deep understanding of data storytelling and insights generation.
In addition to his data science background, Ezra is an experienced Excel trainer, skilled in guiding learners across basic, intermediate, and advanced Excel concepts. His teaching approach emphasizes practical application, empowering individuals to leverage Excel for data analysis, reporting, and informed decision-making.
Ezra's dedication to knowledge sharing has led him to mentor aspiring data professionals, helping them build impactful projects and grow their skills. Whether you're starting with Excel fundamentals or exploring advanced data techniques, Ezra's engaging style and real-world insights make learning both accessible and impactful.